1. Understand and analyze time and space complexity of algorithms and data structures. 2. Illustrate the importance and applications of linked lists in real-world problems. 3. Differentiate between stack and queue data structures for efficient problem solving. 4. Apply recursion techniques and implement tree-based data structures. 5: Use heap operations and hashing techniques for efficient data storage, retrieval, and collision handling. 6. Identify and adapt to emerging data structures and algorithms to stay updated with technological advancements.
Course Details
Explore the comprehensive course modules
Introduction to Algorithm Analysis & Complexity Notations ,Array Fundamentals and Basic Operations Searching Techniques: Linear and Binary Search ,Basic Sorting Algorithms: Bubble and Selection Sort ,Insertion Sort and Comparative Analysis of Sorting Algorithms
Introduction to Linked Lists and Memory Representation , Insertion Operations in Singly Linked Lists , Deletion Operations in Singly Linked Lists , Traversal and Problem Solving using Linked Lists, Advanced Linked Lists: Doubly and Circular Linked Lists
Stack Implementation using Arrays , Stack Implementation using Linked Lists , Applications of Stack: Expression Evaluation , Queue Implementation: Linear and Circular Queue , Advanced Queues: Deque and Priority Queue
Fundamentals of Recursion and Problem Solving , Recursive Applications: Tower of Hanoi , Introduction to Binary Trees , Tree Traversal Techniques (Inorder, Preorder, Postorder) , Binary Search Trees: Insertion, Deletion, Searching
Divide and Conquer: Merge Sort , Divide and Conquer: Quick Sort , Heap Data Structure: Insertion and Deletion , Heap Sort and Applications of Heaps , Hashing Techniques and Collision Resolution
Graph Traversal using Breadth-First Search (BFS) , Graph Traversal using Depth-First Search (DFS) , Shortest Path Algorithm: Dijkstra’s Algorithm , Advanced Shortest Path Algorithms: Bellman-Ford and Floyd-Warshall , Comprehensive Revision and Mock Assessment
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Harsh Vardhan (Computer Science & Engineering)
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